A novel Bayesian approach to reliability modeling: The benefits of uncertainty evaluation in the model selection procedure

This paper proposes a different likelihood formulation within the Bayesian paradigm for parameter estimation of reliability models. Moreover, the assessment of the uncertainties associated with parameters, the goodness of fit, and the model prediction of reliability are included in a systematic fram...

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Bibliographic Details
Published in:Quality and reliability engineering international 2018-10, Vol.34 (6), p.1127-1141
Main Authors: Santana, D. D., Figueirôa Filho, C. L. S., Sartori, I., Martins, Márcio A. F.
Format: Article
Language:English
Subjects:
Bayesian analysis
Goodness of fit
Mathematical models
Parameter estimation
parametric uncertainty
Reliability analysis
reliability model
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Summary:This paper proposes a different likelihood formulation within the Bayesian paradigm for parameter estimation of reliability models. Moreover, the assessment of the uncertainties associated with parameters, the goodness of fit, and the model prediction of reliability are included in a systematic framework for better aiding the model selection procedure. Two case studies are appraised to highlight the contributions of the proposed method and demonstrate the differences between the proposed Bayesian formulation and an existing Bayesian formulation.
ISSN:0748-8017
1099-1638
DOI:10.1002/qre.2312